{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":32,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":32,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"5e74b8d8cedc","filters":{"venue":"Journal of Sensor and Actuator Networks"}},"results":[{"id":"W2770146469","doi":"10.3390/jsan6040026","title":"Big Sensed Data Meets Deep Learning for Smarter Health Care in Smart Cities","year":2017,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Deep learning; Smart city; Wearable computer; Data science; Data acquisition; Artificial intelligence; Internet of Things; Big data; Wearable technology; Machine learning; Human–computer interaction; Data mining; World Wide Web; Embedded system","authors":[{"name":"Alex Adim Obinikpo","is_ca":true},{"name":"Burak Kantarcı","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.031164035700136,"gpt":0.2972979377633438,"spread":0.2661339020632079,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002224809,0.0006016337,0.0007799949,0.0007706581,0.0003458973,0.001870738,0.001272202,0.001310649,0.001437803],"category_scores_gemma":[0.005301943,0.000372313,0.0005355293,0.001139707,0.0009371695,0.004040694,0.00210602,0.002734933,0.0003678907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533909,"about_ca_system_score_gemma":0.001477863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003961585,"about_ca_topic_score_gemma":0.005700661,"domain_scores_codex":[0.9992284,0.0003096774,0.00006660765,0.0001270803,0.0001756901,0.00009256857],"domain_scores_gemma":[0.9981481,0.001057352,0.0001531867,0.0002155611,0.0003206663,0.0001052337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003528325,0.0002775739,0.01828064,0.0008328707,0.0002547912,0.0003247836,0.0004454916,0.339567,0.003535953,0.1408744,0.02353332,0.4717202],"study_design_scores_gemma":[0.00001076233,0.00002284757,0.00108316,0.00007662374,0.00001990092,0.00003652069,0.0001239426,0.8947927,0.001184559,0.0971956,0.005442076,0.00001139093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05835808,0.00987493,0.8921274,0.02884148,0.0004077629,0.0001080483,0.0008303348,0.00101418,0.00843766],"genre_scores_gemma":[0.8050578,0.006842464,0.1824201,0.001731628,0.0005106362,0.0001171794,0.0008894292,0.00008227794,0.002348491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003961585,"threshold_uncertainty_score":0.01176602,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1893404026","doi":"10.3390/jsan4040315","title":"Lesson Learned from Collecting Quantified Self Information via Mobile and Wearable Devices","year":2015,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Lifelog; Wearable computer; Smartwatch; Data collection; Wearable technology; Human–computer interaction; Mobile device; Data science; Multimedia; World Wide Web; Embedded system","authors":[{"name":"Reza Rawassizadeh","is_ca":false},{"name":"Elaheh Momeni","is_ca":false},{"name":"Chelsea Dobbins","is_ca":false},{"name":"Pejman Mirza-Babaei","is_ca":true},{"name":"Ramin Rahnamoun","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03536542426155233,"gpt":0.2747652268624876,"spread":0.2393998026009353,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01103475,0.001182735,0.0007757181,0.001150891,0.001878579,0.00385855,0.002257757,0.002981659,0.004503815],"category_scores_gemma":[0.03872038,0.0005274407,0.0009466192,0.0007702003,0.007956622,0.01260124,0.003705674,0.009274618,0.00183563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386318,"about_ca_system_score_gemma":0.002856046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003891106,"about_ca_topic_score_gemma":0.006287313,"domain_scores_codex":[0.9926421,0.00474224,0.000343385,0.0006241482,0.001428417,0.0002197105],"domain_scores_gemma":[0.9678304,0.02106311,0.0006676035,0.003150387,0.005986629,0.001301881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003523732,0.0008648562,0.0164622,0.005445884,0.0001912311,0.00316784,0.05629206,0.00192091,0.007860755,0.08780218,0.2012205,0.6184193],"study_design_scores_gemma":[0.0001191433,0.001274536,0.01449785,0.006031707,0.0001400324,0.007034896,0.07845098,0.003229887,0.008276105,0.2648502,0.6157736,0.0003210455],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04277287,0.0227637,0.1860272,0.6780314,0.009318024,0.001052258,0.0006517237,0.0008665691,0.05851641],"genre_scores_gemma":[0.3797542,0.04011042,0.3813457,0.1517375,0.006411095,0.001589526,0.0005581006,0.0007795987,0.03771393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01103475,"threshold_uncertainty_score":0.05835801,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2085470892","doi":"10.3390/jsan1010036","title":"Localization in Wireless Sensor Networks and Anchor Placement","year":2012,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Wireless sensor network; Computer science; Node (physics); Global Positioning System; Protocol (science); Set (abstract data type); Class (philosophy); Computer network; Position (finance); Curvilinear coordinates; Distributed computing; Artificial intelligence; Mathematics; Engineering; Telecommunications","authors":[{"name":"Thomas Kunz","is_ca":true},{"name":"Benjamin Tatham","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006988768717321359,"gpt":0.2051615135592725,"spread":0.1981727448419511,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001194668,0.001126804,0.0007888734,0.001079918,0.0006160323,0.001661679,0.001043214,0.002010767,0.002817149],"category_scores_gemma":[0.004367557,0.0003979423,0.0004908347,0.002966108,0.002402899,0.002767688,0.001388839,0.001546396,0.001298793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008388874,"about_ca_system_score_gemma":0.0007163993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001210998,"about_ca_topic_score_gemma":0.0008969372,"domain_scores_codex":[0.9981352,0.0007143421,0.0000951492,0.0002552386,0.0007252151,0.00007477162],"domain_scores_gemma":[0.9986923,0.000740242,0.0001951857,0.0001364056,0.0002024946,0.00003336753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006472786,0.00005316068,0.001049419,0.001193513,0.00006603245,0.0004694275,0.0002580727,0.2760157,0.004950656,0.4220342,0.01436647,0.2794785],"study_design_scores_gemma":[0.00003761337,0.0003280693,0.001274892,0.0005378366,0.00006025935,0.001312835,0.0003085286,0.3357035,0.003761881,0.4869998,0.1695711,0.0001036348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004679185,0.04457089,0.9187535,0.002590552,0.001482479,0.0001081333,0.0001016492,0.000447542,0.02726617],"genre_scores_gemma":[0.3838694,0.1430584,0.438631,0.001650049,0.004881508,0.0006622659,0.0005106418,0.0002751678,0.0264616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002817149,"threshold_uncertainty_score":0.009424329,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2886048562","doi":"10.3390/jsan7030036","title":"Instrumented Wireless SmartInsole System for Mobile Gait Analysis: A Validation Pilot Study with Tekscan Strideway","year":2018,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Computer science; Inertial measurement unit; STRIDE; Cadence; Gait analysis; Gait; Microcontroller; Wireless; Software; Simulation; Embedded system; Artificial intelligence; Physical medicine and rehabilitation; Medicine; Telecommunications","authors":[{"name":"Faisal Arafsha","is_ca":true},{"name":"Christina Hanna","is_ca":true},{"name":"Ahmed Aboualmagd","is_ca":true},{"name":"Sarah Fraser","is_ca":true},{"name":"Abdulmotaleb El Saddik","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01065628076726533,"gpt":0.2212257802369213,"spread":0.210569499469656,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002244732,0.001085705,0.0008286787,0.0005098731,0.0003296753,0.0003462409,0.0009664591,0.0008023691,0.001740971],"category_scores_gemma":[0.001920601,0.0002696889,0.0004670561,0.0002460296,0.0006142149,0.0005667714,0.0005361384,0.0004420351,0.000645873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002168062,"about_ca_system_score_gemma":0.0005649604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002066647,"about_ca_topic_score_gemma":0.002734791,"domain_scores_codex":[0.9989791,0.0004977348,0.00007789039,0.0001526406,0.0001826698,0.0001099929],"domain_scores_gemma":[0.998619,0.0003537454,0.00007946398,0.0002193441,0.0005757565,0.0001527073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01487497,0.05050623,0.1402362,0.002176741,0.0009915353,0.004292028,0.00698166,0.01278222,0.5717988,0.0009590134,0.004474515,0.1899261],"study_design_scores_gemma":[0.003945707,0.4094214,0.4089589,0.0001895468,0.001123356,0.005008409,0.004223879,0.04059815,0.1147123,0.00044814,0.01113779,0.0002324197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847596,0.0000728491,0.01330021,0.00006720012,0.0000398843,0.0008196024,0.000405881,0.00009881914,0.0004358434],"genre_scores_gemma":[0.9757877,0.000200924,0.01943867,0.0001444885,0.00004249359,0.00140541,0.001013616,0.00003466318,0.001932081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002244732,"threshold_uncertainty_score":0.0118714,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2883329982","doi":"10.3390/jsan7030029","title":"Trajectory-Assisted Municipal Agent Mobility: A Sensor-Driven Smart Waste Management System","year":2018,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Heuristics; Computer science; Truck; Greedy algorithm; Cloud computing; Integer programming; Smart city; Trajectory; Set (abstract data type); Waste collection; Software deployment; Real-time computing; Internet of Things; Computer security; Municipal solid waste; Automotive engineering; Engineering; Operating system","authors":[{"name":"Ahmed M. Omara","is_ca":true},{"name":"Damla Gulen","is_ca":false},{"name":"Burak Kantarcı","is_ca":true},{"name":"Sema Oktuğ","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01618730083049197,"gpt":0.231710230898665,"spread":0.215522930068173,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002920929,0.0004871188,0.0005215831,0.0002759894,0.0008663825,0.0006498723,0.001199323,0.0007014865,0.001624471],"category_scores_gemma":[0.0005400486,0.0002087758,0.0003566399,0.000552625,0.0003335235,0.0007579308,0.001310283,0.0003778579,0.0004635018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006333819,"about_ca_system_score_gemma":0.001305109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005847371,"about_ca_topic_score_gemma":0.006272125,"domain_scores_codex":[0.99984,0.00003138632,0.00001268128,0.00004403814,0.00003308253,0.00003880848],"domain_scores_gemma":[0.9997887,0.000035992,0.00004182259,0.00003581683,0.00004163229,0.00005604065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005963024,0.0003968256,0.005427632,0.0001607881,0.00008903239,0.0008981029,0.0004837656,0.7902727,0.03427846,0.01617148,0.005187959,0.146037],"study_design_scores_gemma":[0.00002687079,0.00007543685,0.0003801275,0.000004830903,0.00001693622,0.00005793069,0.00008594865,0.9918202,0.002613444,0.001509881,0.003396126,0.00001231665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2112137,0.0002763991,0.7734125,0.001104261,0.0001522299,0.0002894564,0.0003243094,0.003288832,0.009938295],"genre_scores_gemma":[0.941151,0.000108325,0.05572074,0.00007132583,0.00001697089,0.0001325969,0.0001681053,0.00002754669,0.002603382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005847371,"threshold_uncertainty_score":0.01162666,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3107372501","doi":"10.3390/jsan9040053","title":"A Clustering-Driven Approach to Predict the Traffic Load of Mobile Networks for the Analysis of Base Stations Deployment","year":2020,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ericsson (Canada); Royal Military College of Canada; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Base station; Computer science; Cluster analysis; Energy consumption; Software deployment; Cellular network; Base (topology); Artificial neural network; Real-time computing; Data mining; Computer network; Artificial intelligence; Engineering","authors":[{"name":"Basma Mahdy","is_ca":true},{"name":"Hazem M. Abbas","is_ca":true},{"name":"Hossam S. Hassanein","is_ca":true},{"name":"Aboelmagd Noureldin","is_ca":true},{"name":"Hatem Abou-Zeid","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02704343203700042,"gpt":0.2819587529998694,"spread":0.254915320962869,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004328408,0.0008504692,0.0005266708,0.001558066,0.0003574096,0.0005103428,0.001119684,0.0007680857,0.0008609696],"category_scores_gemma":[0.001675036,0.0003638063,0.0008225517,0.001278338,0.0002039564,0.0006147986,0.0003548416,0.0007602959,0.0003671899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009754722,"about_ca_system_score_gemma":0.0006701723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02634267,"about_ca_topic_score_gemma":0.03064545,"domain_scores_codex":[0.9997743,0.00004536332,0.00001468553,0.00008171763,0.00004548015,0.00003850967],"domain_scores_gemma":[0.9995043,0.0001960264,0.00008010603,0.00004831328,0.0001367112,0.00003454421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005285588,0.00008182981,0.006744078,0.0000310144,0.00007470768,0.000064161,0.00004144079,0.9556153,0.001518247,0.001719158,0.001248134,0.03280903],"study_design_scores_gemma":[6.279271e-7,0.000004648106,0.0005296508,0.00000152896,0.000002858668,0.000004057476,0.000005780299,0.9988297,0.0001034513,0.0004362914,0.00007938469,0.000002013045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2786384,0.000700936,0.7130237,0.00063782,0.0001149842,0.0001427736,0.001804493,0.001517719,0.003419162],"genre_scores_gemma":[0.9402032,0.0003100412,0.05514244,0.00007476954,0.0000721539,0.0000857807,0.001965386,0.00006395798,0.002082295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02634267,"threshold_uncertainty_score":0.05237865,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2800822458","doi":"10.3390/jsan7020020","title":"Optimization of Wireless Sensor Networks Deployment Based on Probabilistic Sensing Models in a Complex Environment","year":2018,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Wireless sensor network; Software deployment; Probabilistic logic; Optimization problem; Global optimization; Evolutionary algorithm; Convergence (economics); Genetic algorithm; Process (computing); Algorithm; Mathematical optimization; Distributed computing; Machine learning; Artificial intelligence; Computer network","authors":[{"name":"Meysam Argany","is_ca":false},{"name":"Farid Karimipour","is_ca":false},{"name":"Fatemeh Mafi","is_ca":false},{"name":"Ali Afghantoloee","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01813729997012134,"gpt":0.2192117300961279,"spread":0.2010744301260066,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009594352,0.001161657,0.0008315318,0.0004679655,0.0003361718,0.0008406967,0.0008071793,0.0006951391,0.0004768321],"category_scores_gemma":[0.001837111,0.0004814512,0.000760982,0.0008814634,0.0007153068,0.001166583,0.0008566827,0.0006253839,0.0001053954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008031306,"about_ca_system_score_gemma":0.0009057067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004704872,"about_ca_topic_score_gemma":0.002987529,"domain_scores_codex":[0.9992881,0.0002694197,0.00002974974,0.000169146,0.0001753276,0.00006814356],"domain_scores_gemma":[0.999384,0.0003641332,0.0001157447,0.00003727109,0.00007909178,0.00001966005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007396725,0.000004652425,0.000148938,0.00001694536,0.000007338695,0.00001188472,0.00000892554,0.995599,0.0004164328,0.00111747,0.00005660236,0.002604358],"study_design_scores_gemma":[0.000001465304,0.0000103335,0.00008564715,0.000002101663,0.00000278243,0.000005879337,0.000005625007,0.99876,0.0001574921,0.0008799629,0.00008695401,0.000001806653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04384002,0.0005997594,0.9528377,0.000183077,0.00002013159,0.00004060209,0.000049963,0.0001741253,0.002254618],"genre_scores_gemma":[0.8806643,0.001458853,0.1156941,0.00006416899,0.00002611523,0.0001823883,0.000132406,0.00006802553,0.001709508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004704872,"threshold_uncertainty_score":0.009354949,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2809804643","doi":"10.3390/jsan7030025","title":"Fundamental Limitations in Energy Detection for Spectrum Sensing","year":2018,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; False alarm; Constant false alarm rate; Cognitive radio; Energy (signal processing); Detection theory; Key (lock); Statistical power; Detector; Artificial intelligence; Real-time computing; Telecommunications; Wireless; Computer security; Statistics; Mathematics","authors":[{"name":"Xiaoli Hu","is_ca":false},{"name":"Pin‐Han Ho","is_ca":true},{"name":"Limei Peng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02400424574147176,"gpt":0.2355081348332628,"spread":0.211503889091791,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005582839,0.001054026,0.001151172,0.0008616048,0.000659752,0.00413419,0.003023098,0.003151626,0.002278725],"category_scores_gemma":[0.0204184,0.0006871013,0.0006934389,0.001015651,0.003811683,0.00634335,0.002458835,0.004094859,0.0007629755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001800845,"about_ca_system_score_gemma":0.001181795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009182719,"about_ca_topic_score_gemma":0.0005369679,"domain_scores_codex":[0.9921239,0.002620986,0.0004330388,0.001357665,0.003105921,0.0003585168],"domain_scores_gemma":[0.9798965,0.01614914,0.0006399179,0.001647083,0.001538071,0.0001293088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001502241,0.0000771665,0.0006255499,0.0007048348,0.00005902319,0.0001797048,0.0002803793,0.05329116,0.01056313,0.8120909,0.002005402,0.1199725],"study_design_scores_gemma":[0.00003229648,0.000252446,0.000724613,0.0004218204,0.00004349503,0.001008874,0.0002104006,0.388003,0.01436178,0.5640724,0.03074353,0.0001254192],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008552238,0.01301523,0.9552276,0.003655616,0.0002881067,0.00005345335,0.00006147246,0.0001420464,0.01900417],"genre_scores_gemma":[0.6962981,0.01620406,0.2776625,0.001644451,0.0009317102,0.0003654769,0.0000834076,0.0001484518,0.006661723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005582839,"threshold_uncertainty_score":0.02952522,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3112691945","doi":"10.3390/jsan9040056","title":"Toward Campus Mail Delivery Using BDI","year":2020,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Action (physics); Human–computer interaction; Architecture; Robot; Perception; Systems architecture; Embedded system; Software; Artificial intelligence; Operating system","authors":[{"name":"Chidiebere Onyedinma","is_ca":true},{"name":"Patrick Gavigan","is_ca":true},{"name":"Babak Esfandiari","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04012449474714676,"gpt":0.2395318833363766,"spread":0.1994073885892299,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001218287,0.000627237,0.000402059,0.0007819169,0.0009258717,0.00211782,0.001097942,0.0007515011,0.006565186],"category_scores_gemma":[0.002591975,0.0005407368,0.0007583209,0.00051282,0.001183876,0.001832553,0.001540638,0.001152463,0.001829671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114473,"about_ca_system_score_gemma":0.00125723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005738169,"about_ca_topic_score_gemma":0.007545041,"domain_scores_codex":[0.9994289,0.0001337917,0.00004467071,0.0001082713,0.0002324839,0.00005184938],"domain_scores_gemma":[0.9993319,0.0002134326,0.000079641,0.0001601465,0.0001818162,0.00003303974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004277201,0.0002608607,0.004197638,0.0004315647,0.00008434241,0.0003273649,0.000969878,0.3877371,0.02824404,0.192803,0.006720955,0.3777955],"study_design_scores_gemma":[0.00004877173,0.00008947731,0.000403243,0.0000464327,0.00003435504,0.0001032594,0.0001103512,0.9195984,0.01925584,0.04140629,0.01887372,0.00002990482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01188043,0.00008220293,0.9769545,0.0001280596,0.00003153393,0.0001106841,0.00007638889,0.004392581,0.006343521],"genre_scores_gemma":[0.2526538,0.0001910102,0.7414317,0.00009602544,0.00001297559,0.0001643956,0.0002670266,0.0003349681,0.0048482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006565186,"threshold_uncertainty_score":0.0219627,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285043087","doi":"10.3390/jsan11030034","title":"A Trust-Influenced Smart Grid: A Survey and a Proposal","year":2022,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency","keywords":"Computer science; Modbus; Computer security; Context (archaeology); Smart grid; NIST; Intrusion detection system; Grid; Encryption; Computer network; Communications protocol; Engineering","authors":[{"name":"Kwasi Boakye-Boateng","is_ca":true},{"name":"Ali A. Ghorbani","is_ca":true},{"name":"Arash Habibi Lashkari","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006207250825200838,"gpt":0.2005923831284812,"spread":0.1943851323032804,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001867473,0.0007703395,0.0008734122,0.003103605,0.0007814431,0.003752689,0.001199607,0.001761923,0.002725614],"category_scores_gemma":[0.004333755,0.0007233101,0.0007862059,0.007367283,0.001437071,0.007882328,0.001366461,0.001933919,0.0007836937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533165,"about_ca_system_score_gemma":0.001620846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0025994,"about_ca_topic_score_gemma":0.00134808,"domain_scores_codex":[0.9987491,0.0003600389,0.0001427788,0.0002947276,0.0003520733,0.0001012457],"domain_scores_gemma":[0.9961256,0.002419912,0.0002688754,0.0002373691,0.0007588721,0.0001893237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001095784,0.0001678213,0.007793893,0.007740808,0.0001171985,0.0007034645,0.001267603,0.01045116,0.001102459,0.2094759,0.02803649,0.7330336],"study_design_scores_gemma":[0.00002476293,0.0003350834,0.01091124,0.007032347,0.00021956,0.00447841,0.003661832,0.03640088,0.001307068,0.1829829,0.7524536,0.0001925517],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008585986,0.9136555,0.04628237,0.008998155,0.0008758907,0.00005860133,0.0001576744,0.0001500998,0.02123572],"genre_scores_gemma":[0.1256375,0.858568,0.00920715,0.001241438,0.002086806,0.00005522451,0.000302652,0.00004683792,0.002854412],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003752689,"threshold_uncertainty_score":0.01112396,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4377241631","doi":"10.3390/jsan12030043","title":"The Role of Optical Transport Networks in 6G and Beyond: A Vision and Call to Action","year":2023,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Huawei Technologies (Canada); Western University","funders":"","keywords":"Orchestration; Computer science; Software deployment; Optical Transport Network; Key (lock); Transport network; Set (abstract data type); Telecommunications; Big data; Knowledge management; Data science; Computer security; Computer network; Passive optical network; Wavelength-division multiplexing","authors":[{"name":"Dimitrios Michael Manias","is_ca":true},{"name":"Abbas Javadtalab","is_ca":true},{"name":"Joe Naoum‐Sawaya","is_ca":true},{"name":"Abdallah Shami","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005747913194378397,"gpt":0.2300979012951792,"spread":0.2243499881008008,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003221812,0.0005759935,0.0002771401,0.0006953425,0.001590796,0.005384885,0.001071491,0.005622267,0.004021905],"category_scores_gemma":[0.002227347,0.0002708433,0.0003381452,0.0006441888,0.003326324,0.01160231,0.002262424,0.004354133,0.0008664375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536768,"about_ca_system_score_gemma":0.00327065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002497432,"about_ca_topic_score_gemma":0.00417828,"domain_scores_codex":[0.9991537,0.0002534551,0.00002715161,0.00006097448,0.0003492862,0.000155334],"domain_scores_gemma":[0.9985818,0.0006339805,0.0001196562,0.00009750913,0.0002918777,0.000275206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009497901,0.0001144758,0.001234006,0.0004375518,0.00001594459,0.0003305218,0.0007136567,0.003990189,0.003892524,0.6367354,0.06341468,0.2890261],"study_design_scores_gemma":[0.00001031665,0.0001853585,0.0007986143,0.0008162881,0.00001759788,0.0004983292,0.002623122,0.01388657,0.00150138,0.3391305,0.6404682,0.00006363323],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02478395,0.2120361,0.09927618,0.4994917,0.009212949,0.0001226134,0.0001838803,0.0005733009,0.1543193],"genre_scores_gemma":[0.4582126,0.2900686,0.1396019,0.04607559,0.00891214,0.0001908309,0.0002390846,0.0001871564,0.05651203],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.005622267,"threshold_uncertainty_score":0.01703876,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2041294681","doi":"10.3390/jsan2010098","title":"A Survey of Sensor Web Services for the Smart Grid","year":2013,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Sensor web; Wireless sensor network; Smart grid; XML; Web service; Node (physics); Grid; Sensor node; Computer network; Embedded system; Distributed computing; Key distribution in wireless sensor networks; World Wide Web; Wireless; Telecommunications; Wireless network","authors":[{"name":"Omar Asad","is_ca":true},{"name":"Melike Erol‐Kantarci","is_ca":true},{"name":"Hussein T. Mouftah","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01306262595350339,"gpt":0.2231870621301876,"spread":0.2101244361766842,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001276786,0.001043761,0.0009753109,0.004552761,0.0007583369,0.002649407,0.001504374,0.001937725,0.005702711],"category_scores_gemma":[0.002519349,0.0007693098,0.0008922227,0.01229254,0.0004403151,0.005225581,0.001213625,0.001626353,0.003314242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001164136,"about_ca_system_score_gemma":0.001777533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003144843,"about_ca_topic_score_gemma":0.002389603,"domain_scores_codex":[0.9984124,0.0002288834,0.0001878418,0.0001575857,0.0008672127,0.0001461408],"domain_scores_gemma":[0.9987296,0.0004757096,0.00009599284,0.0001361316,0.0004608254,0.0001016484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000124507,0.0001392913,0.001305881,0.004513386,0.00005187919,0.0003956731,0.0002681308,0.003671378,0.003453608,0.05819896,0.05714643,0.8707309],"study_design_scores_gemma":[0.00001207914,0.00005966326,0.0009924896,0.0008796179,0.00002788194,0.0007824497,0.0001648894,0.008166789,0.001906227,0.00907975,0.9778922,0.00003593976],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01360091,0.6057928,0.2165449,0.006670708,0.0022451,0.0006351472,0.001787343,0.005421406,0.1473017],"genre_scores_gemma":[0.07192196,0.7371306,0.1365664,0.004408703,0.001620165,0.0004731887,0.005034249,0.001524232,0.04132053],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005702711,"threshold_uncertainty_score":0.01907742,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2137296782","doi":"10.3390/jsan1030166","title":"Low Cost Multisensor Kinematic Positioning and Navigation System with Linux/RTAI","year":2012,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Embedded system; Global Positioning System; Inertial navigation system; Inertial measurement unit; Software; Computer science; Kinematics; Navigation system; Kalman filter; Real-time computing; Operating system; Inertial frame of reference; Artificial intelligence","authors":[{"name":"Kun Qian","is_ca":true},{"name":"Jianguo Wang","is_ca":true},{"name":"Nilesh S. Gopaul","is_ca":true},{"name":"Baoxin Hu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004536429669543509,"gpt":0.193525180376668,"spread":0.1889887507071245,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008430652,0.000982878,0.0008006296,0.001090861,0.0004393577,0.0007927729,0.001855123,0.0004806879,0.007348594],"category_scores_gemma":[0.001724827,0.0003677289,0.0004245816,0.0005240863,0.00029024,0.001187532,0.001254124,0.0006217595,0.003775557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003865556,"about_ca_system_score_gemma":0.0007103115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001396354,"about_ca_topic_score_gemma":0.0008018998,"domain_scores_codex":[0.9988812,0.0001171657,0.0001238789,0.0002751667,0.000506449,0.00009622776],"domain_scores_gemma":[0.9988222,0.0001415646,0.0001533896,0.000309574,0.000493153,0.00008015326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001596462,0.0003768922,0.01108004,0.0007919549,0.0002082105,0.0006154612,0.001264217,0.01493661,0.2652617,0.01210355,0.01550637,0.6762586],"study_design_scores_gemma":[0.0004336473,0.002438901,0.02161475,0.0001633367,0.0005669277,0.003774722,0.0002629146,0.3898103,0.3948454,0.00467632,0.1809142,0.0004986514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03565888,0.00022067,0.9111196,0.00007919567,0.0001232331,0.000230423,0.0002489507,0.04487313,0.007445906],"genre_scores_gemma":[0.6286273,0.0002367109,0.3515624,0.0001859808,0.0001377376,0.0004650511,0.001187752,0.00148833,0.01610879],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007348594,"threshold_uncertainty_score":0.02458352,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2900475759","doi":"10.3390/jsan7040049","title":"Special Issue: Wireless Sensor and Actuator Networks for Smart Cities","year":2018,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Wireless sensor network; Wireless; Wireless network; Key distribution in wireless sensor networks; Telecommunications; Actuator; Computer network; Artificial intelligence","authors":[{"name":"Burak Kantarcı","is_ca":true},{"name":"Sema Oktuğ","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01755360926345899,"gpt":0.2465204305971979,"spread":0.2289668213337389,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002590049,0.003153367,0.003346323,0.005078779,0.002527993,0.007871835,0.003215663,0.007047853,0.1102922],"category_scores_gemma":[0.004917844,0.0007725588,0.001593262,0.003261324,0.001280323,0.005412447,0.00242643,0.004365494,0.0503931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453086,"about_ca_system_score_gemma":0.00180996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008169693,"about_ca_topic_score_gemma":0.002477443,"domain_scores_codex":[0.9984298,0.0001852488,0.0001731484,0.0003142895,0.0006812326,0.0002161362],"domain_scores_gemma":[0.9924499,0.001885287,0.000627138,0.0004288544,0.002783998,0.001824755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000407305,0.00004610201,0.0001792686,0.0004666009,0.00001934923,0.0001477173,0.00001370815,0.0001163426,0.0002692924,0.001173081,0.9757546,0.02177324],"study_design_scores_gemma":[0.00001899356,0.0001006188,0.0008566316,0.0003414395,0.00002679839,0.0003963076,0.00003659415,0.0006638558,0.0001977446,0.001493832,0.9958466,0.00002067479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0007487843,0.02903575,0.00217124,0.02440956,0.8868563,0.0002752,0.0008127054,0.0006179878,0.05507238],"genre_scores_gemma":[0.002746289,0.02866809,0.0006971269,0.007303968,0.8409864,0.0001793231,0.001235474,0.000389685,0.1177937],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1102922,"threshold_uncertainty_score":0.3689643,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1544736713","doi":"10.3390/jsan4030160","title":"Context-Aware Local Optimization of Sensor Network Deployment","year":2015,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Wireless sensor network; Software deployment; Context (archaeology); Visual sensor network; Process (computing); Optimization problem; Distributed computing; Real-time computing; Key distribution in wireless sensor networks; Data mining; Wireless network; Wireless; Computer network; Algorithm; Telecommunications","authors":[{"name":"Meysam Argany","is_ca":true},{"name":"Mir Abolfazl Mostafavi","is_ca":true},{"name":"Christian Gagné","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01556352964147648,"gpt":0.2238164903516922,"spread":0.2082529607102157,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007145494,0.0009656984,0.0009114806,0.0005224757,0.0004258882,0.000586217,0.000746392,0.0005923006,0.0007796249],"category_scores_gemma":[0.002535545,0.0003575406,0.0004432795,0.0006641918,0.0005008524,0.0008384071,0.001028616,0.0005205671,0.0001145935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006798328,"about_ca_system_score_gemma":0.0007146114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002761157,"about_ca_topic_score_gemma":0.003424873,"domain_scores_codex":[0.999477,0.0002204126,0.00001866675,0.0001252836,0.00009264441,0.00006592154],"domain_scores_gemma":[0.9993962,0.0003541129,0.00009443709,0.00004439045,0.00007627056,0.00003451278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002861698,0.00001702586,0.000382008,0.00004098623,0.00001558638,0.00002938275,0.00002797663,0.9806578,0.001269766,0.002697194,0.0003174484,0.01451616],"study_design_scores_gemma":[0.000003008334,0.00001839534,0.0001334861,0.000003223943,0.000006149322,0.000008805222,0.00001119269,0.9982617,0.0003108183,0.001054652,0.0001857208,0.000002843256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04543452,0.001210395,0.9499923,0.0001818667,0.00004535192,0.00005490089,0.0000365798,0.0002062513,0.002837808],"genre_scores_gemma":[0.9123668,0.0006449335,0.08574326,0.00006199482,0.00004943431,0.0001145183,0.00005765968,0.00005865669,0.0009026721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002761157,"threshold_uncertainty_score":0.005490243,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2945083521","doi":"10.3390/jsan8020028","title":"Statistical Properties of Energy Detection for Spectrum Sensing by Using Estimated Noise Variance","year":2019,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"National Research Foundation of Korea","keywords":"False alarm; Noise (video); Constant false alarm rate; Computer science; Variance (accounting); Energy (signal processing); Statistical power; Algorithm; Statistics; Set (abstract data type); Constant (computer programming); Mathematics; Artificial intelligence","authors":[{"name":"Xiaoli Hu","is_ca":false},{"name":"Pin‐Han Ho","is_ca":true},{"name":"Limei Peng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01502094578154317,"gpt":0.2272512878280177,"spread":0.2122303420464745,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005535364,0.001070948,0.0008735521,0.001388113,0.0004416698,0.001491654,0.00134456,0.001329851,0.0009691862],"category_scores_gemma":[0.04448162,0.0005596064,0.000839136,0.0009756999,0.002335272,0.00323756,0.001363107,0.001807454,0.0003008945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088594,"about_ca_system_score_gemma":0.001045198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088775,"about_ca_topic_score_gemma":0.0006718731,"domain_scores_codex":[0.9963515,0.001232812,0.000183695,0.0005994527,0.001271821,0.0003606187],"domain_scores_gemma":[0.9632317,0.03059417,0.00197077,0.00164879,0.00235039,0.0002042104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003966905,0.0001135621,0.005518499,0.0003942504,0.0001599981,0.0006892373,0.0005181785,0.6321539,0.02928962,0.2869912,0.001098537,0.04267633],"study_design_scores_gemma":[0.000009822231,0.00005127552,0.001587821,0.00003351841,0.00002321237,0.0002935266,0.00003659729,0.9581823,0.004269711,0.03512911,0.0003336404,0.00004935178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01942895,0.0004617979,0.978235,0.0001791712,0.00002624971,0.00002153773,0.00005803748,0.0001077314,0.001481457],"genre_scores_gemma":[0.8848771,0.001310611,0.1114881,0.0002694843,0.0001962143,0.000140857,0.000244631,0.0001658037,0.001307232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005535364,"threshold_uncertainty_score":0.02927417,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406437297","doi":"10.3390/jsan14010008","title":"Edge Computing-Aided Dynamic Wireless Charging and Trip Planning of UAVs","year":2025,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Wireless; Edge computing; Real-time computing; Artificial intelligence; Telecommunications","authors":[{"name":"Palwasha W. Shaikh","is_ca":true},{"name":"Hussein T. Mouftah","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004206684277054816,"gpt":0.2220406077080555,"spread":0.2178339234310007,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001551611,0.0003370236,0.0003062474,0.0002188342,0.0003335963,0.0005338559,0.0005395789,0.0002050859,0.001118115],"category_scores_gemma":[0.0004416333,0.0001307223,0.0001747203,0.0002987888,0.0001654924,0.0004523959,0.0004275446,0.0002606982,0.0002118288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004220425,"about_ca_system_score_gemma":0.0004693358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003542754,"about_ca_topic_score_gemma":0.00487925,"domain_scores_codex":[0.9998972,0.0000173511,0.000004833017,0.0000202978,0.00002265318,0.00003761723],"domain_scores_gemma":[0.9998707,0.00004027194,0.00001520542,0.0000202648,0.00003821837,0.00001527329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002624067,0.00006541288,0.002549072,0.00006496527,0.00002373041,0.0002170964,0.00009485278,0.8517581,0.02181,0.006140997,0.00177277,0.1152406],"study_design_scores_gemma":[0.000004596781,0.00004375328,0.0002845523,0.000001660799,0.000004874902,0.00002870209,0.00002531608,0.9937942,0.00408547,0.0007973933,0.000925524,0.000004063809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2432439,0.0002809789,0.7413545,0.0002117169,0.0001069386,0.00008755513,0.0001117533,0.0009104428,0.01369214],"genre_scores_gemma":[0.9788042,0.00004868498,0.02000421,0.0000247294,0.000005939121,0.00001516615,0.00003765702,0.00001671192,0.001042825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003542754,"threshold_uncertainty_score":0.007044256,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4393188675","doi":"10.3390/jsan13020023","title":"Structured Data Ontology for AI in Industrial Asset Condition Monitoring","year":2024,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centre of Innovation","keywords":"Computer science; Ontology; Asset (computer security); Data mining; Artificial intelligence; Natural language processing; Computer security","authors":[{"name":"Jacob Hendriks","is_ca":true},{"name":"Mana Azarm","is_ca":false},{"name":"Patrick Dumond","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03027187064672268,"gpt":0.2904914456587191,"spread":0.2602195750119964,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004048576,0.0004791952,0.0005415662,0.002829273,0.001357112,0.004580449,0.002198649,0.001562213,0.002440799],"category_scores_gemma":[0.005588764,0.0004935958,0.001875421,0.003178121,0.002444697,0.006941504,0.003515402,0.002769281,0.001037526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002532778,"about_ca_system_score_gemma":0.004134251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009027562,"about_ca_topic_score_gemma":0.007266757,"domain_scores_codex":[0.9966665,0.0008286126,0.0005973449,0.0006064833,0.001122419,0.0001786441],"domain_scores_gemma":[0.9974232,0.0008072237,0.000234564,0.0008057755,0.000550828,0.0001783948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003798966,0.00009629472,0.001337526,0.0004088077,0.00004606992,0.0003548477,0.001334488,0.01132128,0.003166038,0.8884346,0.009280332,0.08418185],"study_design_scores_gemma":[0.00002237899,0.00005293599,0.000968704,0.0005176655,0.00006457352,0.0007527231,0.0009046725,0.1003788,0.005863701,0.4234703,0.4669314,0.00007211402],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002831971,0.0006183976,0.9820118,0.00192347,0.0002075094,0.0002715955,0.001035814,0.0008903758,0.01020911],"genre_scores_gemma":[0.05915149,0.001153487,0.9305655,0.0008539515,0.0001115131,0.0004533895,0.003499984,0.0002259466,0.003984728],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009027562,"threshold_uncertainty_score":0.02141112,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2131231626","doi":"10.3390/jsan4030226","title":"Multi-Hop-Enabled Energy-Efficient MAC Protocol for Underwater Acoustic Sensor Networks","year":2015,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Network packet; Efficient energy use; Throughput; Computer network; Hop (telecommunications); Propagation delay; Wireless sensor network; Protocol (science); Real-time computing; Engineering; Telecommunications; Wireless","authors":[{"name":"Khaja Mohammad Shazzad","is_ca":true},{"name":"Kemal Tepe","is_ca":true},{"name":"Esam Abdel‐Raheem","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03517876217592213,"gpt":0.2631020504536301,"spread":0.227923288277708,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006562893,0.0004494928,0.0003785063,0.0006550567,0.0005176621,0.0004598982,0.001087169,0.0004594686,0.0006583162],"category_scores_gemma":[0.001301116,0.0002253495,0.0003877416,0.0005099672,0.0003959736,0.00111918,0.0005907884,0.0006341521,0.0001763073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005068185,"about_ca_system_score_gemma":0.0007181598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008490676,"about_ca_topic_score_gemma":0.00130339,"domain_scores_codex":[0.9995822,0.0001155257,0.00002666196,0.00004862281,0.0001961814,0.00003079744],"domain_scores_gemma":[0.9995502,0.0001699366,0.00008073709,0.00005870501,0.0001251042,0.00001532003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003019269,0.0002023015,0.001267271,0.0009511969,0.0002024505,0.0005988012,0.0003631684,0.4494935,0.1538308,0.1510478,0.006456918,0.235284],"study_design_scores_gemma":[0.0000191444,0.0001773918,0.000320751,0.00003876965,0.00004629498,0.0002172716,0.0000299813,0.9602832,0.0175906,0.01039598,0.01084285,0.00003786122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02976694,0.003832563,0.9601134,0.0002725336,0.0002459036,0.000173094,0.000105476,0.000895282,0.0045947],"genre_scores_gemma":[0.7283043,0.003405267,0.2616425,0.0002142862,0.0001159447,0.0006176276,0.0002531275,0.00007875296,0.005368207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001087169,"threshold_uncertainty_score":0.003677249,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2901447084","doi":"10.3390/jsan7040048","title":"Tracking a Jammer in Wireless Sensor Networks and Selecting Boundary Nodes by Estimating Signal-to-Noise Ratios and Using an Extended Kalman Filter","year":2018,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Federation for the Humanities and Social Sciences","keywords":"Node (physics); Computer science; Boundary (topology); Signal-to-noise ratio (imaging); Noise (video); Kalman filter; Tracking (education); Transmission (telecommunications); Algorithm; SIGNAL (programming language); Filter (signal processing); Range (aeronautics); Position (finance); Acoustics; Artificial intelligence; Mathematics; Telecommunications; Computer vision; Physics; Engineering","authors":[{"name":"Waleed Aldosari","is_ca":false},{"name":"Mohamed Zohdy","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01678610236510369,"gpt":0.2593302968237777,"spread":0.242544194458674,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007203144,0.0008075478,0.0006809186,0.0007872214,0.0005826023,0.0006313475,0.0006233598,0.0006782839,0.0003972106],"category_scores_gemma":[0.003556258,0.0003697851,0.0004451715,0.0004944708,0.0004994156,0.001993285,0.0006851364,0.0004983845,0.0002672007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002933502,"about_ca_system_score_gemma":0.0004338723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002498497,"about_ca_topic_score_gemma":0.001954427,"domain_scores_codex":[0.9993809,0.000144077,0.00004548962,0.0001737244,0.0001969383,0.00005881862],"domain_scores_gemma":[0.9990539,0.0004170172,0.0001869457,0.00008885437,0.0002209737,0.00003236982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003661278,0.0001283989,0.00779403,0.0002807336,0.0001066445,0.000284677,0.0005680709,0.5131757,0.08786447,0.008767669,0.0008943384,0.3797691],"study_design_scores_gemma":[0.00001123929,0.0001678662,0.001649832,0.00002454973,0.00003764614,0.0001334535,0.00008507166,0.9776873,0.01706667,0.001929888,0.001172403,0.0000340891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03348519,0.0003496326,0.9647302,0.00004580114,0.00003011144,0.00002576771,0.00001096849,0.0003877812,0.0009345821],"genre_scores_gemma":[0.7910288,0.0006987974,0.2065872,0.00005451769,0.00005212369,0.00007460018,0.00006112736,0.00005994344,0.001382917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002498497,"threshold_uncertainty_score":0.004967928,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2889767824","doi":"10.3390/jsan7030038","title":"Performance Analysis of Maximum Likelihood Estimation for Transmit Power Based on Signal Strength Model","year":2018,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Distributed Sensor Networks and Detection Algorithms","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Independent and identically distributed random variables; Maximum likelihood; Computer science; Transmitter power output; Signal strength; Node (physics); Estimation; Power (physics); Likelihood function; Function (biology); Random variable; Algorithm; Estimation theory; Maximum likelihood sequence estimation; Mathematical optimization; Wireless; Statistics; Mathematics; Telecommunications; Transmitter; Acoustics; Channel (broadcasting)","authors":[{"name":"Xiaoli Hu","is_ca":false},{"name":"Pin‐Han Ho","is_ca":true},{"name":"Limei Peng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008407488059537999,"gpt":0.2277335710578919,"spread":0.2193260829983539,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0129514,0.001932885,0.001825309,0.00155391,0.0008144912,0.002335538,0.002252846,0.002572731,0.002472908],"category_scores_gemma":[0.08001046,0.00111156,0.0009187786,0.001451027,0.00306042,0.004962024,0.00418678,0.002309615,0.0007116469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649243,"about_ca_system_score_gemma":0.001618365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002102306,"about_ca_topic_score_gemma":0.0007533122,"domain_scores_codex":[0.9923497,0.00474685,0.0002006087,0.0007292719,0.001478916,0.0004945327],"domain_scores_gemma":[0.9306791,0.06238329,0.002224287,0.001587423,0.002650925,0.0004750461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005582133,0.00005242516,0.002348547,0.0002484788,0.0001269437,0.0002102267,0.0003016192,0.9263645,0.003807898,0.04428627,0.0006768167,0.02101789],"study_design_scores_gemma":[0.00001237506,0.00008157404,0.0002781229,0.00001499208,0.00001721822,0.00007267479,0.00002288596,0.9908442,0.0009164836,0.007608525,0.000113183,0.00001774887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02612365,0.0008257539,0.9700543,0.0005101105,0.00002217318,0.000041942,0.00006016187,0.0002868444,0.002075095],"genre_scores_gemma":[0.8874986,0.001639406,0.1074411,0.0002511996,0.0001829607,0.0002670171,0.0003960663,0.0002684991,0.0020551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0129514,"threshold_uncertainty_score":0.06849432,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406360241","doi":"10.3390/jsan14010007","title":"Event-Based Visual Simultaneous Localization and Mapping (EVSLAM) Techniques: State of the Art and Future Directions","year":2025,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Event (particle physics); Artificial intelligence; Computer vision; Simultaneous localization and mapping; Preprocessor; Robot; Mobile robot","authors":[{"name":"Mohsen Shahraki","is_ca":true},{"name":"Ahmed Elamin","is_ca":true},{"name":"Ahmed El‐Rabbany","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003990369855592725,"gpt":0.2249871827457228,"spread":0.22099681289013,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001548523,0.001352182,0.001252038,0.001538067,0.0003990365,0.002262486,0.002413988,0.001127807,0.003062432],"category_scores_gemma":[0.00372978,0.0005029493,0.001119876,0.003026289,0.0007239108,0.003752302,0.001576939,0.00160569,0.001406477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000534088,"about_ca_system_score_gemma":0.0009548226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003186466,"about_ca_topic_score_gemma":0.002195796,"domain_scores_codex":[0.9990102,0.0002468138,0.00007364271,0.000279543,0.0003162277,0.00007362192],"domain_scores_gemma":[0.998154,0.0009813195,0.0001301801,0.0002923844,0.0003871595,0.00005492881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001317005,0.00007255996,0.001218295,0.001244145,0.00009733711,0.00008224842,0.0001951502,0.01769765,0.003083034,0.01096184,0.007940368,0.9572758],"study_design_scores_gemma":[0.00007025737,0.0005694862,0.006500304,0.001715781,0.0003615714,0.001578763,0.001293981,0.5931671,0.01789194,0.06803665,0.3085762,0.00023794],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01001679,0.105914,0.8717373,0.001386106,0.000853344,0.0001255136,0.0004013541,0.002090582,0.007475067],"genre_scores_gemma":[0.2627174,0.1884117,0.5317561,0.001360556,0.00252068,0.0003552699,0.003150122,0.0006565765,0.009071581],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003186466,"threshold_uncertainty_score":0.01024485,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2835110131","doi":"10.3390/jsan7030027","title":"Priority-Based Machine-To-Machine Overlay Network over LTE for a Smart City","year":2018,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Handshake; LTE Advanced; Cellular network; Throughput; Machine to machine; Wireless; Telecommunications link; Telecommunications; Computer security; Internet of Things","authors":[{"name":"Nargis Khan","is_ca":true},{"name":"Jelena Mišić","is_ca":true},{"name":"Vojislav B. Mišić","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01000966249280796,"gpt":0.2518058262836215,"spread":0.2417961637908136,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003774425,0.0002895413,0.0003245853,0.0002968478,0.0005887215,0.0005821957,0.0003980157,0.0003664084,0.0008134635],"category_scores_gemma":[0.0008330747,0.00007280808,0.0001814655,0.00036804,0.0002772892,0.0007719282,0.000464794,0.0002510642,0.0001076996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107086,"about_ca_system_score_gemma":0.0005737714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009642418,"about_ca_topic_score_gemma":0.01125266,"domain_scores_codex":[0.9997186,0.00008000722,0.0000117973,0.00002797843,0.00007823902,0.00008330034],"domain_scores_gemma":[0.9996594,0.0001088434,0.00003747789,0.00003609927,0.0001211356,0.00003699195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009879004,0.0002690404,0.005052062,0.0002187592,0.00007014076,0.0009239687,0.000413977,0.7434466,0.08446481,0.02668815,0.00473199,0.1327327],"study_design_scores_gemma":[0.00001057352,0.0001786541,0.000926232,0.00000434608,0.0000194385,0.0000890633,0.00007610422,0.9920621,0.003617898,0.001675033,0.001327031,0.00001368096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7335663,0.001404186,0.2536537,0.0004184592,0.0001487714,0.0001252566,0.0001544859,0.001318107,0.009210692],"genre_scores_gemma":[0.9917507,0.00009356425,0.007712062,0.00001383017,0.000007392607,0.000007656214,0.00002533392,0.000003826053,0.0003855304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009642418,"threshold_uncertainty_score":0.01917261,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4297825308","doi":"10.3390/jsan11030045","title":"Adversarial Attacks on Heterogeneous Multi-Agent Deep Reinforcement Learning System with Time-Delayed Data Transmission","year":2022,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Reinforcement learning; Robustness (evolution); Transmission (telecommunications); Adversarial system; Cluster (spacecraft); Data transmission; Artificial intelligence; Distributed computing; Computer network; Telecommunications","authors":[{"name":"Neshat Elhami Fard","is_ca":true},{"name":"Rastko R. Šelmić","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01645218397278949,"gpt":0.245728690659178,"spread":0.2292765066863885,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001333564,0.0007147602,0.0007456168,0.0002345156,0.0004405889,0.00058995,0.0008422915,0.0007438928,0.0006995528],"category_scores_gemma":[0.003246578,0.0002441809,0.0004194049,0.0002097159,0.001151015,0.0008041012,0.001274634,0.001072582,0.00007256057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009911172,"about_ca_system_score_gemma":0.0006737119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004682294,"about_ca_topic_score_gemma":0.002316557,"domain_scores_codex":[0.9991411,0.0002425435,0.00003843723,0.000179786,0.0001961435,0.0002019329],"domain_scores_gemma":[0.9981608,0.0009644055,0.0003916004,0.0001402077,0.0002142378,0.0001288849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008805063,0.00001871155,0.0006215753,0.00001740483,0.0000281178,0.000122646,0.0000404828,0.9859136,0.001581397,0.007277661,0.0001823688,0.00410819],"study_design_scores_gemma":[0.000003740857,0.00001986846,0.00007746879,9.053728e-7,0.000003138877,0.000008580497,0.000003915403,0.9985447,0.0001975151,0.001097254,0.00004063061,0.000002313898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2436332,0.0003056483,0.7513167,0.000546504,0.00008829318,0.00005762967,0.00005140846,0.0002595791,0.003741017],"genre_scores_gemma":[0.9961117,0.00003502053,0.003185326,0.00003188233,0.000006823051,0.00001303561,0.000007055123,0.000004523485,0.0006047873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004682294,"threshold_uncertainty_score":0.009310126,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408622258","doi":"10.3390/jsan14020032","title":"Robust Distributed Collaborative Beamforming for WSANs in Dual-Hop Scattered Environments with Nominally Rectangular Layouts","year":2025,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Beamforming; Computer science; Hop (telecommunications); Dual (grammatical number); Telecommunications","authors":[{"name":"Oussama Ben Smida","is_ca":true},{"name":"Sofiène Affes","is_ca":true},{"name":"Dushantha Nalin K. Jayakody","is_ca":false},{"name":"Yoosuf Nizam","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005422287170174569,"gpt":0.1918816859079022,"spread":0.1864593987377276,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004950046,0.0007099099,0.0004327422,0.0002471445,0.0002921559,0.000638077,0.0006611386,0.0006910191,0.001635009],"category_scores_gemma":[0.001529177,0.0002847356,0.000488636,0.0004371071,0.0006421571,0.0007092911,0.0007758843,0.0005509878,0.0004509285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005645238,"about_ca_system_score_gemma":0.0005797667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002331725,"about_ca_topic_score_gemma":0.002188619,"domain_scores_codex":[0.9996873,0.00009045738,0.000009140907,0.00005947913,0.0001034465,0.00005015499],"domain_scores_gemma":[0.999517,0.000226275,0.00007799121,0.00004384366,0.000105686,0.00002919476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005596748,0.00001550642,0.0003559778,0.00003985157,0.00001994399,0.00009056029,0.00005667918,0.9584579,0.008252359,0.01784562,0.000564402,0.01424511],"study_design_scores_gemma":[0.000007460851,0.00002644302,0.00007766604,0.000004035627,0.000003498462,0.00002257647,0.0000215582,0.9949473,0.001049872,0.003323174,0.0005105229,0.000005808101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01276701,0.00007565504,0.9843369,0.00008241778,0.00001883151,0.00001489779,0.00002872642,0.00008670271,0.002588846],"genre_scores_gemma":[0.7283505,0.0003466534,0.2654783,0.000123394,0.00003668941,0.0001393769,0.0001285804,0.00005554362,0.005340824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002331725,"threshold_uncertainty_score":0.00546968,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396495218","doi":"10.3390/jsan13030030","title":"A Multi-Agent Reinforcement Learning-Based Grant-Free Random Access Protocol for mMTC Massive MIMO Networks","year":2024,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Computer science; Reinforcement learning; Random access; Protocol (science); Latency (audio); Throughput; Computer network; Internet of Things; Base station; Low latency (capital markets); Communications protocol; Distributed computing; Wireless; Embedded system; Telecommunications; Artificial intelligence","authors":[{"name":"Felipe Augusto Dutra Bueno","is_ca":true},{"name":"Alessandro Goedtel","is_ca":false},{"name":"Taufik Abrão","is_ca":false},{"name":"José Carlos Marinello","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02684276262947592,"gpt":0.2995373510372367,"spread":0.2726945884077607,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001091999,0.0005250729,0.0007350235,0.0002472397,0.000406346,0.0006071957,0.00125314,0.0007235121,0.001299205],"category_scores_gemma":[0.002432195,0.000201156,0.0003482272,0.0002488666,0.0007171374,0.0005620388,0.0009168831,0.001000233,0.0002094868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005348147,"about_ca_system_score_gemma":0.0009952527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003535984,"about_ca_topic_score_gemma":0.00347025,"domain_scores_codex":[0.9994645,0.0002061696,0.0000229224,0.00009014213,0.0001359147,0.00008042678],"domain_scores_gemma":[0.9989387,0.0006235851,0.0001326216,0.00005475288,0.0001780867,0.00007221826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009635388,0.000081281,0.0003919164,0.00006366689,0.00004412593,0.0001762459,0.00006794275,0.9440117,0.003424949,0.01069633,0.001239982,0.03970553],"study_design_scores_gemma":[0.000009806897,0.00003279917,0.00002254697,0.000001821331,0.000003839301,0.00001331218,0.000002721208,0.9988528,0.0001733771,0.0007248144,0.0001587303,0.00000344199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01646239,0.0002781998,0.9801385,0.0002254354,0.00009077341,0.00006805426,0.00001575619,0.0002771472,0.002443602],"genre_scores_gemma":[0.9227127,0.0001870924,0.074328,0.0001455201,0.00004577295,0.0001719706,0.00002683549,0.00002305079,0.002359065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003535984,"threshold_uncertainty_score":0.007030785,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413807726","doi":"10.3390/jsan14050088","title":"Electrostatic MEMS Phase Shifter for SiN Photonic Integrated Circuits","year":2025,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phase shift module; Materials science; Electronic circuit; Waveguide; Microelectromechanical systems; Optoelectronics; Photonic integrated circuit; Optical power; Photonics; Optical switch; Actuator; Silicon photonics; Interferometry; Voltage; Optics; Electrical engineering; Physics; Insertion loss; Engineering","authors":[{"name":"Seyedfakhreddin Nabavi","is_ca":true},{"name":"Michaël Ménard","is_ca":true},{"name":"Frédéric Nabki","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007232638757684993,"gpt":0.2473425117472108,"spread":0.2401098729895259,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008767238,0.000169733,0.0001070501,0.00007315271,0.0001276046,0.000160476,0.0002121791,0.0002101745,0.0009167984],"category_scores_gemma":[0.0001113742,0.00007528539,0.0001131547,0.00008936792,0.0001184916,0.0002052784,0.0001312508,0.0001770562,0.0002316776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002726855,"about_ca_system_score_gemma":0.0001575177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001380228,"about_ca_topic_score_gemma":0.0003943261,"domain_scores_codex":[0.9999431,0.000005738988,0.000001912979,0.000008346437,0.00003552919,0.000005377376],"domain_scores_gemma":[0.9999648,0.000007933,0.00001501966,0.000003730967,0.000006571755,0.000001923906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005217088,0.00002581439,0.0003564318,0.0001036615,0.00001032929,0.00008099873,0.00002459579,0.006433179,0.9628549,0.008537631,0.0003343702,0.02118587],"study_design_scores_gemma":[0.00003616957,0.0004886357,0.001786236,0.000021884,0.00002271442,0.0004148973,0.0000276491,0.1908719,0.7788505,0.001573766,0.0258891,0.00001647552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7253922,0.003406127,0.2527568,0.0004209742,0.0002118905,0.00007615474,0.00009371625,0.0004964066,0.01714576],"genre_scores_gemma":[0.932569,0.0005637336,0.06277775,0.00007565955,0.00002587687,0.00003199255,0.00004335574,0.0000135107,0.003899126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009167984,"threshold_uncertainty_score":0.003067017,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411885375","doi":"10.3390/jsan14040068","title":"Graphene–PLA Printed Sensor Combined with XR and the IoT for Enhanced Temperature Monitoring: A Case Study","year":2025,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Graphene; Internet of Things; Computer science; Embedded system; Real-time computing; Materials science; Nanotechnology","authors":[{"name":"Abbas S. Milani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00714941394141825,"gpt":0.2322721219764692,"spread":0.2251227080350509,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007363057,0.0006532089,0.0004082657,0.0006376299,0.0006914321,0.001074643,0.00133547,0.002510724,0.00266217],"category_scores_gemma":[0.001784614,0.0003292095,0.0006096355,0.0004539138,0.0009318379,0.0009282699,0.0008086424,0.0007413452,0.0007468819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003581525,"about_ca_system_score_gemma":0.0002631723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008906077,"about_ca_topic_score_gemma":0.001861947,"domain_scores_codex":[0.9988911,0.0003568276,0.00006006617,0.0001807009,0.0004009297,0.0001105192],"domain_scores_gemma":[0.9991598,0.0004312555,0.0001010259,0.000113543,0.00009896365,0.00009536812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001953277,0.003446324,0.0573981,0.003669356,0.0003017673,0.412006,0.02214289,0.02260032,0.2437365,0.01391406,0.009749046,0.2090824],"study_design_scores_gemma":[0.0001237711,0.005326495,0.03301146,0.0005380746,0.0003545363,0.4439693,0.01756955,0.0656971,0.3558117,0.00328635,0.073976,0.0003355881],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9225863,0.001662814,0.06285436,0.0008962976,0.0001263308,0.0003534331,0.0002310129,0.0002875236,0.01100193],"genre_scores_gemma":[0.9559652,0.0008096725,0.03302499,0.0002101757,0.00003955423,0.0001284193,0.00005925371,0.00005559369,0.009707118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00266217,"threshold_uncertainty_score":0.008905888,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413608238","doi":"10.3390/jsan14050086","title":"Efficient and Low-Cost Modular Polynomial Multiplier for WSN Security","year":2025,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Lethbridge","funders":"","keywords":"Computer science; Modular design; Multiplier (economics); Polynomial; Computer security; Mathematics; Programming language; Economics","authors":[{"name":"Fariha Haroon","is_ca":true},{"name":"Hua Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004999587297650567,"gpt":0.2261022180172835,"spread":0.2211026307196329,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001429485,0.0003523978,0.0002000451,0.000327733,0.0002956432,0.0003421882,0.0005018003,0.0002618443,0.002548933],"category_scores_gemma":[0.00041383,0.0001348122,0.0002498249,0.0003202937,0.0001691043,0.0005905294,0.0002186301,0.0003694395,0.0005379756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000343711,"about_ca_system_score_gemma":0.0004028451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002395907,"about_ca_topic_score_gemma":0.0005341804,"domain_scores_codex":[0.9999048,0.00001907725,0.000005318773,0.00001904028,0.00003747358,0.00001434864],"domain_scores_gemma":[0.9998884,0.00002737685,0.00002423244,0.00001964851,0.00003383176,0.000006460059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005273194,0.00009353664,0.000897858,0.0005353844,0.00008666943,0.0004406069,0.0001174634,0.05474515,0.5910535,0.05940623,0.003125481,0.2889709],"study_design_scores_gemma":[0.0001794222,0.00171448,0.001606659,0.0001206476,0.0001669735,0.002108164,0.00007374598,0.469051,0.4507821,0.02010215,0.05401257,0.00008206945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1541754,0.002284592,0.8289909,0.0003596853,0.000186648,0.0001191041,0.0001100387,0.0009723825,0.01280131],"genre_scores_gemma":[0.8706066,0.0006492231,0.1239274,0.00006266666,0.00004045207,0.00004268497,0.00007670599,0.0000358941,0.004558412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002548933,"threshold_uncertainty_score":0.00852704,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4211009314","doi":"10.3390/jsan11010012","title":"Discrete-Time Takagi-Sugeno Stabilization Approach Applied in Autonomous Vehicles","year":2022,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Linearization; Computer science; Bilinear interpolation; Compensation (psychology); Stability (learning theory); Quadratic equation; Lyapunov function; Constraint (computer-aided design); Curvature; Linear matrix inequality; Matrix (chemical analysis); Discrete time and continuous time; Control (management); Mathematical optimization; Nonlinear system; Mathematics; Artificial intelligence","authors":[{"name":"Mohamed Ali Jemmali","is_ca":true},{"name":"Hussein T. Mouftah","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00317105471957529,"gpt":0.1627761683539264,"spread":0.1596051136343511,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002028949,0.0005428241,0.0003721426,0.000229173,0.0002932322,0.0005637828,0.0005167605,0.0004687039,0.0009413442],"category_scores_gemma":[0.0002591093,0.0001862394,0.0004187597,0.0002671352,0.0004297389,0.0003645232,0.0003973263,0.0006377678,0.0001673361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003604218,"about_ca_system_score_gemma":0.0004733273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002831544,"about_ca_topic_score_gemma":0.002057764,"domain_scores_codex":[0.9998357,0.00003227095,0.00001232072,0.00005278902,0.00005132185,0.00001551726],"domain_scores_gemma":[0.9999156,0.00002562432,0.00001577761,0.00000713335,0.00003082391,0.000005078168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000876519,0.00005160436,0.0004932875,0.0005718544,0.00009868144,0.0003588528,0.000337452,0.7852984,0.04420446,0.08248401,0.001064423,0.08494923],"study_design_scores_gemma":[0.000008523236,0.0001207333,0.0001432383,0.00001468204,0.00001813336,0.00002894388,0.00002611911,0.9850184,0.002673598,0.008344504,0.003595027,0.000008150577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008251582,0.0009653352,0.985794,0.0001099153,0.0001254531,0.00002237457,0.00002263001,0.0001092048,0.004599423],"genre_scores_gemma":[0.926457,0.001594955,0.06617207,0.00008356178,0.000144084,0.0001390076,0.0000769965,0.00002123902,0.005311024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002831544,"threshold_uncertainty_score":0.005630076,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412552792","doi":"10.3390/jsan14040077","title":"FO-DEMST: Optimized Multi-Scale Transformer with Dual-Encoder Architecture for Feeding Amount Prediction in Sea Bass Aquaculture","year":2025,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ministry of Agriculture","funders":"National Key Research and Development Program of China; Tianjin Agricultural University","keywords":"Computer science; Encoder; Transformer; Aquaculture; Fishery; Sea bass; Bass (fish); Architecture; Fish <Actinopterygii>; Electrical engineering; Biology; Operating system; Engineering","authors":[{"name":"Hongpo Wang","is_ca":true},{"name":"Qi‐Hui Zhang","is_ca":false},{"name":"Zhou Hong","is_ca":true},{"name":"Yunchen Tian","is_ca":true},{"name":"Yongcheng Jiang","is_ca":true},{"name":"Jianing Quan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01237102772750306,"gpt":0.2441152062597441,"spread":0.2317441785322411,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004739158,0.0006331709,0.0005773143,0.0004398249,0.0002387943,0.0004568646,0.0009871672,0.0004048182,0.001705282],"category_scores_gemma":[0.0006400433,0.0002586379,0.0005087771,0.0003475643,0.0001800664,0.0007315919,0.0004912424,0.0005603392,0.0005418912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005105435,"about_ca_system_score_gemma":0.0006653474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01166132,"about_ca_topic_score_gemma":0.01467325,"domain_scores_codex":[0.9998356,0.0000237619,0.00001244232,0.00004746576,0.0000523849,0.00002833423],"domain_scores_gemma":[0.9998117,0.00005208983,0.00001686019,0.00001930453,0.00008624241,0.00001387677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008123335,0.0003566555,0.007507125,0.0001452656,0.0001821955,0.0002333995,0.00007520435,0.4246717,0.03263477,0.001787935,0.003638627,0.5279548],"study_design_scores_gemma":[0.000008382794,0.00005573416,0.0004558205,0.000002708448,0.000009737306,0.0000254526,0.00000547323,0.9961422,0.002766469,0.0002019783,0.0003202887,0.000005719127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1098576,0.0006197946,0.8810887,0.000171603,0.0001348665,0.00007463253,0.000289767,0.005008396,0.002754534],"genre_scores_gemma":[0.9207964,0.0001682059,0.0761222,0.00007994228,0.00002247449,0.00006365056,0.0003935216,0.00004328265,0.002310236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01166132,"threshold_uncertainty_score":0.02318686,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4416903434","doi":"10.3390/jsan14060115","title":"Estimating Post-Encroachment Time for Pedestrian Safety Using Ultra-Wideband Sensor Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Sensor and Actuator Networks","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Pedestrian; Collision; Multipath propagation; Synchronization (alternating current); Crash; Measure (data warehouse); Time division multiple access; Interference (communication)","authors":[{"name":"Salah Fakhoury","is_ca":true},{"name":"Karim Ismail","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007899011507483428,"gpt":0.2481696276457873,"spread":0.2402706161383038,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004028136,0.0004037001,0.0002143923,0.0008545283,0.0002142447,0.0004412607,0.0002906254,0.0003520252,0.0003649914],"category_scores_gemma":[0.001481586,0.0001261221,0.0002444979,0.0006139249,0.0001224454,0.0006521061,0.0004169281,0.0002381234,0.0001619829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002402135,"about_ca_system_score_gemma":0.0003227803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001229484,"about_ca_topic_score_gemma":0.002354535,"domain_scores_codex":[0.9996058,0.0001057658,0.00002416795,0.00005739201,0.0001685879,0.00003817187],"domain_scores_gemma":[0.9991992,0.0002259728,0.0002349821,0.00006307713,0.0002447325,0.00003200217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009528636,0.000425439,0.3412088,0.0004052214,0.0002419433,0.000599463,0.0007269309,0.1226228,0.1715536,0.002802282,0.001367936,0.3570928],"study_design_scores_gemma":[0.00001628316,0.001477991,0.1629509,0.00008654363,0.0001883532,0.0007901006,0.001164742,0.7287171,0.1000557,0.001814958,0.002649474,0.00008786006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8022493,0.0005406236,0.1946817,0.00007196117,0.00006769222,0.00003496874,0.0001331339,0.0002862288,0.001934414],"genre_scores_gemma":[0.9801808,0.0001959519,0.01916184,0.00001237051,0.0000078097,0.00001294326,0.00007314616,0.000005902722,0.0003492947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001229484,"threshold_uncertainty_score":0.002444625,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}